149 search results - page 30 / 30 » Semi-supervised nonlinear dimensionality reduction |
PR
2007
13 years 5 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
IJON
2007
13 years 5 months ago
2007
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...
CEC
2010
IEEE
13 years 23 days ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
MM
2010
ACM
13 years 6 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...